Euglenoideos en Dos Lagunas Urbanas De Villahermosa, Tabasco

La laguna El Cometa carece de información sobre la diversidad de microalgas, a pesar de ser el primer componente productivo de ecosistemas acuáticos e influir en la calidad y uso del agua. Por lo que se planteó el objetivo de determinar las morfoespecies de microalgas del fitoplancton en la laguna El Cometa así como, sus especies indicadoras y potencialmente tóxicas. Las muestras se recolectaron con una red de fitoplancton de 20μm en seis sitios en la temporada de lluvias. Se registraron 50 taxones de seis grupos taxonómicos que representan los primeros registros parala Reserva de la Biosfera Pantanos de Centla. Treinta y tres de ellos se suman a los registros existentes en la planicie costera del río Usumacinta. Se encontraron cinco taxones marinos, siete potencialmente tóxicos y cinco bioindicadoras de contaminación y de condiciones de eutrofización querepresentan riesgo de salud pública.

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Morfoespecies de fitoplancton de la laguna el cometa en la reserva de la biosfera pantanos de Centla

Esqueda-Lara

Sánchez

Salcedo

et al. 2021

Ecosist. Recur. Agropec.

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Aquatic microdiversity from urban cenotes in Cancun, Quintana Roo, Mexico

Díaz-Hernández,

Ugalde-Silva,

Berriozabal-Islas

et al. 2023

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The microdiversity of cenotes in the Yucatan Peninsula, Mexico has been little studied, with the phytoplankton and protists being the most representative species. However, all previous studies have been focused on cenotes associated with touristic activities, leaving a gap in the understanding of cenotes located within urban areas. The present study is dedicated to the identification of phytoplankton and protists in the cenotes of Cancun, Quintana Roo, Mexico. We conducted our research in four urban cenotes, collecting samples using a 150 µm plankton net, filtering them with a 45 µm membrane, and examining them under optical microscopy. Subsequently, we calculated the abundance, richness, and completeness of the samples. Our findings revealed a total of 6 phyla, 4 subphyla, 10 classes, 8 subclasses, 15 orders, 15 families, 18 genus, and 17 species and 4 species indeterminata in the cenotes of Cancun, Quintana Roo, Mexico. Among these, there were 8 species of phytoplankton and 1 species indeterminata, while 9 species of protists and 3 species indeterminata. These results highlight the remarkable species richness and the complex structure and composition of urban cenotes, suggesting that some species may be unique to this particular ecosystem. Currently, there is limited knowledge regarding the behavior of these aquifers (urban cenotes), and a comprehensive inventory or characterization of their microdiversity is lacking. Such information could be instrumental in the management, conservation, and sustainable use of these valuable aquifers.

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Detection and Classification of Diabetic Macular Edema with a Desktop-Based Code-Free Machine Learning Tool

Kırık,

Demirkıran,

Ekinci Aslanoğlu

et al. 2023

tjo

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Objectives: To evaluate the effectiveness of the Lobe application, a machine learning (ML) tool that can be used on a personal computer without requiring coding expertise, in the recognition and classification of diabetic macular edema (DME) in spectral-domain optical coherence tomography (SD-OCT) scans. Materials and Methods: A total of 695 cross-sectional SD-OCT images from 336 patients with DME and 200 OCT images of 200 healthy controls were included. Images with DME were classified into three main types: diffuse retinal edema (DRE), cystoid macular edema (CME), and cystoid macular degeneration (CMD). To develop the ML model, we used the desktop-based code-free Lobe application, which includes a pre-trained ResNet-50 V2 convolutional neural network and is available free of charge. The performance of the trained model in recognizing and classifying DME was evaluated with 41 DRE, 28 CMD, 70 CME, and 40 normal SD-OCT images that were not used in the training. Results: The developed model showed 99.28% sensitivity and 100% specificity for class-independent detection of DME. Sensitivity and specificity by labels were 87.80% and 98.57% for DRE, 96.43% and 99.29% for CME, and 95.71% and 95.41% for CMD, respectively. Conclusion: To our knowledge, this is the first evaluation of the effectiveness of Lobe with ophthalmological images, and the results indicate that it can be used with high efficiency in the recognition and classification of DME from SD-OCT images by ophthalmologists without coding expertise.

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Euglenoideos en Dos Lagunas Urbanas De Villahermosa, Tabasco

Cited by 3 publications

References 1 publication

Morfoespecies de fitoplancton de la laguna el cometa en la reserva de la biosfera pantanos de Centla

Morfoespecies de fitoplancton de la laguna el cometa en la reserva de la biosfera pantanos de Centla

Aquatic microdiversity from urban cenotes in Cancun, Quintana Roo, Mexico

Detection and Classification of Diabetic Macular Edema with a Desktop-Based Code-Free Machine Learning Tool

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Euglenoideos en Dos Lagunas Urbanas De Villahermosa, Tabasco

Cited by 3 publications

References 1 publication

Morfoespecies de fitoplancton de la laguna el cometa en la reserva de la biosfera pantanos de Centla

Morfoespecies de fitoplancton de la laguna el cometa en la reserva de la biosfera pantanos de Centla

﻿Aquatic microdiversity from urban cenotes in Cancun, Quintana Roo, Mexico

Detection and Classification of Diabetic Macular Edema with a Desktop-Based Code-Free Machine Learning Tool

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Product

Resources

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Aquatic microdiversity from urban cenotes in Cancun, Quintana Roo, Mexico